This work is cited by the following items of the Benford Online Bibliography:
Badal-Valero, E, Alvarez-Jareño, JA and Pavía, JM (2018). Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case. Forensic Science International 282, pp. 24-34. DOI:10.1016/j.forsciint.2017.11.008. | ||||
Blondeau Da Silva, S (2020). Limits of Benford’s Law in Experimental Field. International Journal of Applied Mathematics 33(4), pp. 685-695. DOI:10.12732/ijam.v33i4.12. | ||||
Branets, S (2019). Detecting money laundering with Benford’s law and machine learning . Masters Thesis, University of Tartu. | ||||
Chi, D (2020). First Digit Phenomenon in Number Generation Under Uncertainty: Through the Lens of Benford’s Law. Master's thesis, School of Psychology, University of Sydney. | ||||
Cinko, M (2014). Testing distribution of BIST-100 returns by Benford law. Journal of Economics, Finance and Accounting – (JEFA) 1(3), pp.184–191. TUR | ||||
Condeço, PIH (2014). Aplicação da lei de Benford e a importância do controlo interno. Master's Thesis, Instituto politécnico de Lisboa, Instituto superior de contabilidade e administração de Lisboa. POR | ||||
Gauvrit, N, Houillon, J-C and Delahaye, J-P (2017). Generalized Benford’s Law as a Lie Detector. Advances in Cognitive Psychology 13(2), pp. 121-127. DOI:10.5709/acp-0212-x. | ||||
Halperin, M and Lusk, EJ (2016). Navigating the Benford labyrinth: A big-data Analytic protocol illustrated using the Academic library Context. Knowledge Management & E-Learning 8(1), pp. 138-157. | ||||
Ikoba, NA, Jolayemi, ET and Sanni, OOM (2018). Nigeria’s recent population censuses: a Benford-theoretic evaluation. African Population Studies 32(1), pp. 3974-3981. DOI:10.11564/32-1-1166. | ||||
Li, F, Han, S, Zhang, H, Ding, J, Zhang, J and Wu, J (2019). Application of Benford’s law in Data Analysis. Journal of Physics: Conference Series 1168, pp. 032133. DOI:10.1088/1742-6596/1168/3/032133. | ||||
Lusk, EJ and Halperin, M (2014). Detecting Newcomb-Benford digital frequency anomalies in the audit context: Suggested x^2 test possibilities. Accounting and Finance Research 3(2), pp. 191-205. DOI:10.5430/afr.v3n2p191. | ||||
Lusk, EJ and Halperin, M (2014). Detecting Digital Frequency Anomalies as Benchmarked against the Newcomb-Benford Theoretical Frequencies: Calibrating the Chi2 Test: A Note. International Business Research 7(2). ISSN/ISBN:1913-9012. DOI:10.5539/ibr.v7n2p72 . | ||||
Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094. | ||||
Omerzu, N and Kolar, I (2019). Do the Financial Statements of Listed Companies on the Ljubljana Stock Exchange Pass the Benford’s Law Test?. International Business Research, Canadian Center of Science and Education 12(1), pp. 54-64, January. DOI:10.5539/ibr.v12n1p54. | ||||
Pérez-Melián, JA, Conejero, JA and Ferri, C (2017). Zipf's and Benford's laws in Twitter hashtags. Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics. DOI:10.18653/v1/E17-4009. | ||||
Slepkov, AD, Ironside, KB and DeBattista, D (2013). Benford's Law: Textbook Exercises and Multiple-choice Testbanks. Preprint posted on physics arXiv - submitted 19 November 2013. | ||||
Slepkov, AD, Ironside, KB and DiBattista, D (2015). Benford’s Law: Textbook Exercises and Multiple-Choice Testbanks. PLoS ONE 10(2): e0117972. DOI:10.1371/journal.pone.0117972. |